by Rajendra Singh MD Professor of Pathology, University of Pennsylvania Co-Founder, PathPresenter After Part 1 and Part 2, many of you asked how the argument ends. This is where it lands. When a field reaches consensus, it usually means the real work is about to begin. Over the past two essays, I argued that the [...]
by Christos Evangelou, MSc, PhD – Medical Writer and Editor A new computational approach developed by researchers at Karolinska Institutet improves the resolution of breast cancer spatial analysis by integrating AI-powered image analysis with spatial transcriptomics. The pipeline, which the researchers termed “computational tissue annotation” or CTA, uses machine learning to identify individual cell types in standard H&E-stained tissue sections, providing spatial insights into cellular neighborhoods and their molecular signatures in breast tumors. The study was [...]
Using principles of superposition and entanglement, researchers develop an AI framework to tailor patients' cancer treatment to their entire molecular background. By Mara Johnson-Groh, freelance science writer for American Institute of Physics Publishing’s Scilights, and Kelly Hermans, University of Utah Scientific Computing and Imaging Institute A version of this story was published on @theU For a [...]
The following abstract is drawn from a recently published paper in Journal of Pathology Informatics | ScienceDirect.com by Elsevier. We invite you to read the full paper and join the conversation, become a member of the Pathology News community to share your thoughts, ask questions, and engage with others around this work. Authors: Khandaker Mohammad [...]
Lab Logic is a configuration layer that enables labs to tailor HALO AP® to their preferred workflow, enabling any lab, regardless of case volume, to operate like an automated triage engine, continuously analyzing incoming slides; triggering AI-driven actions; and delivering the right cases to the right experts at the right time. Creating an Active Ecosystem [...]
By Bianca Collings We are thrilled to announce that we received a global award for exception achievement from the international awards program The Global Recognition Awards™. We couldn’t be prouder of our team and the countless hours they’ve put into revolutionizing cancer diagnostics and digital pathology by raising the standard for tissue quality with our software and pre-analytical tech. We [...]
When Andrej Karpathy shared an autoresearch demo showing an agent improving a simplified single-GPU implementation of nanochat , it captured something many ML teams were already beginning to feel. Portions of our research resemble an agent loop, with much of our day-to-day ML model development work already following this structure: we form hypotheses, tune training recipes, [...]
Artificial intelligence is transforming the way cancer is diagnosed and treated. Dr Yuri Tolkach, from the University Hospital Cologne in Germany, shared his group's advances in developing AI-based tools for oncological pathology at the 12th Digital Pathology and Artificial Intelligence Europe congress in London. By Mark Nicholls During his presentation, Tolkach explained how algorithms [...]
Researchers at the University of Hawaiʻi Cancer Center and UH Mānoa John A. Burns School of Medicine (JABSOM) were awarded more than $12 million from the National Institutes of Health (NIH) to establish the Pacific Center for Artificial Intelligence and Data Science in Medicine (PAC-AID)—a new research center dedicated to accelerating biomedical discoveries through artificial intelligence and data science to benefit people in Hawaiʻi and the [...]
The following abstract is drawn from a recently published paper in Dovepress. We invite you to read the full paper and join the conversation, become a member of the Pathology News community to share your thoughts, ask questions, and engage with others around this work. Authors: Ge Yan,1,* Xiujuan Wu,2,* Peiting Zhao,3 Feng Zhou,1 Shaoze [...]
